Initial commit

app.py

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+import json
+import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text:str)->str:
+    """
+    Analyze the sentiment of the given text.
+    
+    Arags :
+        Text (str): the text to analyze
+    
+    Returns: 
+        str: A JSON  string containing polarity, subjectivity, and asssesment
+    """
+
+    blob = TextBlob(text)
+    sentiment = blob.sentiment # type: ignore
+
+    result = { # type: ignore
+        "polarity": round(sentiment.polarity, 2),  # -1 (negative) to 1 (positive) # type: ignore
+        "subjectivity": round(sentiment.subjectivity, 2),  # 0 (objective) to 1 (subjective) # type: ignore
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral" # type: ignore
+    }
+
+    return json.dumps(result)
+
+
+
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs=gr.Textbox(),  # Changed from gr.JSON() to gr.Textbox()
+    title="Text Sentiment Analysis",
+    description="Analyze the sentiment of text using TextBlob"
+)
+
+
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob